Apache Airflow is a widely adopted data pipeline orchestration framework, yet many teams overlook some of its most beneficial features for daily development, such as User-defined Macros, XCom, and Task Sensors. User-defined Macros allow for dynamic parameterization in data pipelines by enabling custom macros, which provide solutions for tasks like timezone adjustments and varying SQL clauses. XCom facilitates the passing of data between tasks by storing key-value pairs, although it can be complex to debug in intricate DAGs. Task Sensors, particularly the External Task Sensor, ensure task dependencies are maintained across DAGs, enhancing data integrity and allowing for coordination with external systems. Despite their power, these features need careful handling, and Airflow could benefit from expanding its dependency management capabilities beyond its current scope to improve integration with external services.